Results 51 to 60 of about 5,738 (222)

Synthetic Micro-Doppler Signatures of Non-Stationary Channels for the Design of Human Activity Recognition Systems [PDF]

, 2021
The main aim of this dissertation is to generate synthetic micro-Doppler signatures and TV-MDSs to train the HACs. This is achieved by developing non-stationary fixed-tofixed (F2F) indoor channel models.
Abdelgawwad, Ahmed
core   +1 more source

Unveiling the Microvasculature: The Index of Microcirculatory Resistance and Its Expanding Role in Cardiovascular Care

Catheterization and Cardiovascular Interventions, EarlyView.
ABSTRACT Index of microcirculatory resistance (IMR) is a cutting‐edge, wire‐based tool that advances the capability assessment of coronary microvascular function. By utilizing distal coronary pressure and mean transit time under maximal hyperemia, IMR delivers consistent, reproducible insights into the microvasculature's dynamic health.
Joanna Sohn, Matthew A. Soderstrom, Ariana Ramirez, John‐Henry Dean, Raj Shah, Debanshu Roy, Kenneth Stone, Ariel Vinas, Bryan Ramsey, Charles Lin, Robert Chilton   +10 more
wiley   +1 more source

Real-time capable micro-Doppler signature decomposition of walking human limbs

, 2022
S.1093-1098Unique micro-Doppler signature (m-D) of a human body motion can be analyzed as the superposition of different body parts m-D signatures. Extraction of human limbs m-D signatures in real-time can be used to detect, classify and track human ...
Schneider, U., Abdulatif, S., Aziz, F., Kleiner, B.   +3 more
core   +1 more source

Micro-Doppler signature for drone detection using FSR: a theoretical and experimental validation

The Journal of Engineering, 2019
Drone inexpensive and operational flexibility contributed to its exponential increase by civil users, apart from military applications. This resulted in posing threats due to drone misuses, such as smuggling, unlawful imaging and other significant ...
Surajo Alhaji Musa, Raja Abdullah Raja Syamsul Azmir, Aduwati Sali, Alyani Ismail, Nur Emileen Abd Rashid   +4 more
doaj   +1 more source

Review of CFD modelling techniques for single‐phase and multiphase flow in static mixers

The Canadian Journal of Chemical Engineering, EarlyView.
This review synthesizes computational fluid dynamics (CFD) approaches for static mixers, linking hydrodynamics to pressure drop, particle/droplet distributions, mixing metrics, and heat‐transfer performance to guide modelling choices and design decisions. Abstract Static mixers enable compact and low‐energy intensification.
Jussan Jaeger, Sálvio Lima de Carvalho Neto, Silvio Edegar Weschenfelder, Glaucia Rodrigues Vieira de Almeida da Fonseca, Maria de Fátima Rodrigues da Cunha, Selene Maria Arruda Guelli Ulson de Souza, Evandro Balestrin, Adriano da Silva   +7 more
wiley   +1 more source

A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars

IEEE Access, 2021
With the recent advancements in radar systems, radar sensors offer a promising and effective perception of the surrounding. This includes target detection, classification and tracking. Compared to the state-of-the-art, where the state vector of classical
Anand Dubey, Avik Santra, Jonas Fuchs, Maximilian Lubke, Robert Weigel, Fabian Lurz   +5 more
doaj   +1 more source

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +1 more source

Extraction of Micro-Doppler Feature Using LMD Algorithm Combined Supplement Feature for UAVs and Birds Classification

Remote Sensing, 2022
In the past few decades, the demand for reliable and robust systems capable of monitoring unmanned aerial vehicles (UAVs) increased significantly due to the security threats from its wide applications.
Ting Dai, Shiyou Xu, Biao Tian, Jun Hu, Yue Zhang, Zengping Chen   +5 more
doaj   +1 more source

Semisupervised Human Activity Recognition With Radar Micro-Doppler Signatures

IEEE Transactions on Geoscience and Remote Sensing, 2022
Human activity recognition (HAR) plays a vital role in many applications, such as surveillance, in-home monitoring, and health care. Portable radar sensor has been increasingly used in HAR systems in combination with deep learning (DL). However, it is both difficult and time-consuming to obtain a large-scale radar dataset with reliable labels ...
Xinyu Li 0007, Yuan He 0009, Francesco Fioranelli, Xiaojun Jing   +3 more
openaire   +4 more sources

Research progress on the use of the optical coherence tomography system for the diagnosis and treatment of central nervous system tumors

Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.
With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li, Ziba Ayi, Gonggong Lu, Haibo Rao, Feilong Yang, Jing Li, Jiachen Sun, Junlin Lu, Xulin Hu, Si Zhang, Xuhui Hui   +10 more
wiley   +1 more source